Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "protocolVersion": "1.0",
  "name": "Agentic Interaction Trust Gate",
  "description": "A2A-compatible evidence-readiness gate for agent-mediated actions across checkout, account, API, MCP tool, and A2A endpoint surfaces. Bring actor identity claims, target surface, requested action, and dated evidence; get trust-routing triage, missing source categories, evidence gaps, watch-next indicators, decision-readiness score, trust signal, and human-review routing.",
  "url": "https://agentic-interaction-trust-a2a.vassiliy-lakhonin.workers.dev",
  "provider": {
    "organization": "Vassiliy Lakhonin",
    "url": "https://vassiliylakhonin.github.io/",
    "legalEntity": {
      "type": "individual",
      "name": "Vassiliy Lakhonin",
      "url": "https://vassiliylakhonin.github.io/verification.json",
      "sameAs": [
        "https://github.com/vassiliylakhonin",
        "https://pypi.org/project/agenda-intelligence-md/",
        "https://glama.ai/mcp/servers/vassiliylakhonin/agenda-intelligence-md"
      ]
    }
  },
  "version": "1.1.0",
  "documentationUrl": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/docs/use-cases/agentic-interaction-trust.md",
  "supportedInterfaces": [
    {
      "url": "https://agentic-interaction-trust-a2a.vassiliy-lakhonin.workers.dev/message/send",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "1.0"
    }
  ],
  "protocolVersions": [
    "1.0"
  ],
  "securitySchemes": {
    "optionalClientId": {
      "apiKeySecurityScheme": {
        "location": "header",
        "name": "X-Client-Id",
        "description": "Optional caller identifier for observability and abuse triage. Not an access credential."
      }
    },
    "productionBearer": {
      "httpAuthSecurityScheme": {
        "scheme": "bearer",
        "bearerFormat": "opaque",
        "description": "Bearer access key for the production message/send route. Enforced only when the operator configures an access key on this deployment; while unset the route is an open free demo and no key is required."
      }
    }
  },
  "securityRequirements": [],
  "security": [],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false,
    "extendedAgentCard": false
  },
  "defaultInputModes": [
    "application/json",
    "text/plain",
    "text/markdown"
  ],
  "defaultOutputModes": [
    "application/json",
    "text/markdown"
  ],
  "skills": [
    {
      "id": "agentic-interaction-trust-gate",
      "name": "Agentic interaction trust gate",
      "description": "Turns an agent-mediated action, target surface, actor claim, and dated evidence into a structured trust-routing recommendation with decision-readiness score, evidence gaps, and mandatory human-review routing.",
      "tags": [
        "agentic-ai",
        "trust-and-safety",
        "fraud-risk",
        "mcp",
        "a2a",
        "evidence-readiness",
        "human-review",
        "free"
      ],
      "examples": [
        "Should this AI shopping agent checkout be allowed, stepped up, or escalated to human review?",
        "Triage an unknown A2A caller requesting a sanctions-adjacent capability."
      ],
      "inputModes": [
        "application/json",
        "text/plain"
      ],
      "outputModes": [
        "application/json",
        "text/markdown"
      ]
    }
  ],
  "support": {
    "email": "vassiliy.lakhonin@gmail.com",
    "documentationUrl": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/MCP.md",
    "hours_local": "Mon\u2013Fri 09:00\u201318:00 Asia/Almaty (UTC+5)",
    "timezone": "Asia/Almaty",
    "response_sla": "Best-effort response within 2 business days. Solo maintainer (not a company); not a paid support channel."
  },
  "x_agenda_intelligence": {
    "hosted_wrapper": true,
    "wrapper_scope": "A2A/JSON-RPC discovery, agentic interaction trust triage, evidence gating, and routing response only",
    "jsonrpc_endpoint": "https://agentic-interaction-trust-a2a.vassiliy-lakhonin.workers.dev/message/send",
    "repository": "https://github.com/vassiliylakhonin/agenda-intelligence-md",
    "package": "https://pypi.org/project/agenda-intelligence-md/",
    "mcp": {
      "transport": "stdio",
      "server_command": "agenda-intelligence-mcp",
      "install": "pip install agenda-intelligence-md"
    },
    "boundaries": [
      "Agentic interaction evidence triage only.",
      "No autonomous live source retrieval.",
      "No factual-truth verification.",
      "No cybersecurity monitoring, fraud adjudication, identity verification, or transaction authorization.",
      "No legal, compliance, financial, investment, insurance, or trading advice.",
      "No approval, clearance, authorization, denial, blocking, or final decision.",
      "Human review is required for consequential decisions."
    ],
    "product_profile": "agentic_interaction_trust",
    "canonical_product_name": "Agentic Interaction Trust Gate",
    "documentation": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/docs/use-cases/agentic-interaction-trust.md",
    "product_contract": {
      "request_schema": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/schemas/v1/agentic-interaction-trust-request.schema.json",
      "response_schema": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/schemas/v1/agentic-interaction-trust-response.schema.json",
      "source_taxonomy": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/source-requirements/agentic-interaction-trust.json",
      "runnable_examples": "https://github.com/vassiliylakhonin/agenda-intelligence-md/tree/main/examples/agentic-interaction-trust",
      "canonical_input_mode": "structured_json",
      "demo_input_modes": [
        "structured_json"
      ]
    },
    "required_before_action": [
      "agent_identity_claim",
      "operator_or_principal_authorization",
      "agent_card_or_manifest",
      "tool_scope_or_permission_evidence",
      "session_authentication_evidence",
      "action_intent_evidence",
      "transaction_or_target_action_evidence"
    ],
    "helpful_context_sources": [
      "mcp_or_a2a_endpoint_metadata",
      "rate_limit_or_abuse_signal",
      "fraud_or_account_takeover_signal",
      "device_or_infrastructure_evidence",
      "provider_policy_or_allowlist",
      "prior_interaction_history",
      "incident_report_or_threat_intel",
      "human_review_note"
    ],
    "supported_contracts": [
      "agentic_interaction_trust_contract"
    ],
    "buyer_use_cases": [
      "AI shopping-agent checkout step-up review",
      "unknown A2A caller capability invocation review",
      "MCP tool-scope and permission evidence triage",
      "API partner delegated-action evidence readiness",
      "trust-and-safety human-review queue preparation"
    ],
    "commercial_positioning": "Actor + target surface + requested action + dated evidence -> auditable trust-routing triage with evidence gaps, decision-readiness score, watch-next indicators, and human-review escalation.",
    "focus": [
      "agent-mediated checkout and account action triage",
      "A2A and MCP endpoint invocation evidence gates",
      "delegated-action authority and permission evidence",
      "trust-and-safety review readiness",
      "human-review escalation for consequential agentic actions"
    ],
    "not_advice_notice": "Agentic interaction evidence triage only. Not cybersecurity monitoring, fraud adjudication, identity verification, transaction authorization, legal advice, compliance advice, or financial advice."
  },
  "signature": "eyJhbGciOiJFUzI1NiIsImI2NCI6ZmFsc2UsImNyaXQiOlsiYjY0Il0sImtpZCI6ImFnZW5kYS1pbnRlbGxpZ2VuY2UtbWQtMjAyNi0wNS0yOS02ZmY3NGQxMiJ9..wioq5cXcPxEUTPdAbZv-MoBCaf6xD3840tajeRsHizp5xgAtq_p6-DxrUfS9Ar0I-XMjlw0EO2eHoNnrBK1_pQ"
}